Thesis topic: Learning Generative World Models of Physical Dynamics Context: AI4Science is an emerging research field that investigates the potential of AI methods to advance scientific discovery, particularly through the modeling of complex natural phenomena. This fast- growing area holds the promise of transforming how research is conducted across a broad…
Learning automata from their traces has long been addressed from a purely logical perspective (e.g. Angluin’s L* algorithm), until neural architectures offered an amazing alternative : ground breaking performances, summoning models at the boundary between the continuous world and the discrete world, leveraging probabilistic approaches… but providing no guarantees on…
Starting date: September 2026 Application deadline: Open until the position is filled Duration: 36 months Net salary: Approximately €1810 per month. Workplace: Lab-STICC UMR 6285 CNRS, Brittany INP – ENIB, Brest, France Funding: Fully funded by Brittany INP through a French ministerial doctoral contract Context of the PhD position:Lab-STICC is…
Description Robots, cars as well, are expected to become increasingly autonomous and efficient in terms of navigation, thanks to a range of sensors and the associated data processing based on artificial intelligence. Among existing sensors, event-based cameras offer numerous advantages, however, they have not yet been studied extensively enough to…
Il s’agit d’une thèse CIFRE avec Siemens France, en collaboration entre les services de médecine nucléaire de Brest et Nantes. Le sujet concerne du développement de méthodes de traitement de signal pour améliorer et rendre compatible les méthodes actuelles d’imagerie double-traceur dynamique dans le cadre d’acquisitions sur PET grand-champ. Toutes…
Thesis topic: Efficient Interaction through Information Maximization Context: Designing user interfaces is an iterative process. A designer creates an initial version based on their intuition and experience, then tests it with users and refines it based on feedback. This cycle is repeated until the interface is considered satisfactory. While effective, this…
Context and Objectives Governing is forecasting. This proverbial saying is relevant to many situations of engineering interest where decisions must be taken based on predictions or when devising a suitable sequence of actions to achieve some goal requires a good knowledge of the effect of these actions onto the system…
Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence) Location: Grenoble Keywords: X-ray Dark-field Imaging, Small Angle X-ray Scattering, Computational X-rays, ImageReconstruction, Deep Learning Overview: This doctoral project aims to dramatically reduce the acquisition time and computational requirements of small-angle X-ray scattering…
Funding: The project is funded for three years by the MIAI Cluster (Multidisciplinary Institute in Artificial Intelligence) Location: Grenoble ou Lyon Keywords: Ghost Tomography, Computational X-rays, Image Reconstruction, Deep Learning. Overview: This doctoral project aims to develop a groundbreaking 3D imaging technique for non-destructive elemental analysis by merging the principles…
